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Full Scoreboard »» |
Edmonton Oilers 38-27-4, 80pts · 7th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 16 | C | 100.00 | 65 | 34 | 93 | 87 | 86 | 90 | 85 | 85 | 93 | 88 | 87 | 87 | 86 | 72 | 85 | 0 | 56 | 94 | 27 | 10,000,000$/8yrs | |||
![]() | 87 | C | 100.00 | 68 | 33 | 83 | 85 | 76 | 89 | 88 | 85 | 92 | 89 | 87 | 68 | 86 | 86 | 99 | 0 | 73 | 94 | 35 | 8,700,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 32 | 89 | 85 | 68 | 85 | 79 | 81 | 62 | 81 | 85 | 67 | 83 | 71 | 70 | 0 | 67 | 89 | 27 | 6,000,000$/3yrs | |||
![]() | 57 | LW/RW | 100.00 | 73 | 33 | 77 | 77 | 77 | 84 | 87 | 81 | 57 | 80 | 83 | 64 | 82 | 84 | 89 | 0 | 73 | 88 | 34 | 7,000,000$/3yrs | |||
![]() | 15 | LW/RW | 100.00 | 64 | 33 | 80 | 82 | 76 | 80 | 71 | 76 | 58 | 73 | 88 | 63 | 82 | 70 | 68 | 0 | 59 | 86 | 27 | 5,800,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 86 | 35 | 83 | 72 | 75 | 84 | 86 | 71 | 84 | 74 | 72 | 87 | 71 | 74 | 72 | 0 | 73 | 85 | 28 | 3,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 32 | 84 | 78 | 70 | 82 | 90 | 74 | 59 | 72 | 81 | 76 | 78 | 70 | 69 | 0 | 73 | 84 | 26 | 2,000,000$/1yrs | |||
![]() | 98 | RW | 100.00 | 77 | 36 | 89 | 69 | 82 | 80 | 87 | 71 | 55 | 74 | 70 | 62 | 70 | 66 | 65 | 0 | 74 | 80 | 24 | 3,000,000$/1yrs | |||
![]() | 13 | LW | 100.00 | 67 | 39 | 88 | 74 | 80 | 83 | 89 | 76 | 64 | 66 | 73 | 65 | 76 | 61 | 65 | 0 | 81 | 80 | 21 | 925,000$/1yrs | |||
![]() | 17 | LW | 100.00 | 72 | 32 | 91 | 62 | 68 | 77 | 88 | 64 | 59 | 67 | 63 | 81 | 64 | 85 | 84 | 0 | 73 | 79 | 35 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 33 | 91 | 67 | 82 | 77 | 85 | 64 | 79 | 69 | 68 | 73 | 66 | 64 | 63 | 0 | 59 | 77 | 23 | 1,200,000$/2yrs | |||
![]() | 19 | LW/RW | 100.00 | 82 | 67 | 50 | 61 | 92 | 75 | 90 | 67 | 60 | 69 | 66 | 60 | 66 | 84 | 79 | 0 | 62 | 76 | 34 | 1,200,000$/2yrs | |||
![]() | 53 | D | 99.00 | 82 | 33 | 86 | 77 | 83 | 94 | 90 | 77 | 30 | 81 | 65 | 91 | 71 | 62 | 60 | 0 | 73 | 90 | 21 | 894,167$/1yrs | |||
![]() | 55 | D | 100.00 | 72 | 34 | 90 | 69 | 94 | 95 | 89 | 74 | 30 | 76 | 64 | 90 | 69 | 75 | 82 | 0 | 73 | 88 | 29 | 6,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 74 | 33 | 79 | 68 | 84 | 91 | 88 | 73 | 30 | 75 | 62 | 90 | 68 | 73 | 71 | 0 | 73 | 86 | 28 | 5,750,000$/7yrs | |||
![]() | 0 | D | 100.00 | 70 | 33 | 80 | 67 | 81 | 89 | 90 | 72 | 30 | 75 | 64 | 87 | 68 | 83 | 81 | 0 | 43 | 86 | 34 | 3,900,000$/1yrs | |||
![]() | 48 | D | 100.00 | 82 | 34 | 88 | 68 | 88 | 90 | 90 | 70 | 30 | 72 | 65 | 85 | 67 | 64 | 62 | 0 | 73 | 84 | 23 | 925,000$/1yrs | |||
![]() | 4 | D | 100.00 | 71 | 32 | 95 | 62 | 65 | 81 | 72 | 69 | 30 | 71 | 63 | 84 | 66 | 86 | 85 | 0 | 73 | 83 | 35 | 1,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 0.00 | 58 | 32 | 99 | 86 | 68 | 93 | 66 | 82 | 30 | 95 | 78 | 85 | 80 | 80 | 80 | 0 | 27 | 95 | 32 | 6,250,000$/5yrs | |||
![]() | 77 | D | 0.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 39 | 10 | 29 | 4,167,000$/1yrs | |||
TEAM AVERAGE | 89.95 | 68 | 34 | 81 | 70 | 75 | 81 | 81 | 71 | 52 | 72 | 69 | 73 | 70 | 71 | 72 | 0 | 65 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 99.00 | 95 | 95 | 82 | 76 | 97 | 92 | 96 | 95 | 95 | 94 | 96 | 71 | 76 | 0 | 62 | 94 | 27 | 5,666,666$/3yrs |
![]() | 31 | 100.00 | 89 | 90 | 79 | 79 | 89 | 85 | 90 | 91 | 89 | 91 | 90 | 76 | 81 | 0 | 67 | 90 | 30 | 2,750,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 92 | 93 | 81 | 78 | 93 | 89 | 93 | 93 | 92 | 93 | 93 | 74 | 79 | 0 | 65 | 92 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 91 | 87 | 90 | 89 | 82 | 75 | 87 | USA | 53 | 2 | 1,000,000$ |
General Manager | Vincent Tardif |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Aleksander Barkov | 16 | C | 63 | 23 | 39 | 62 | 20 | 14 | 0 | 66 | 268 | 79 | 190 | 8.58% | 18 | 21.48 | 5 | 11 | 16 | 154 | 0 | 1 | 1 | 180 | 4 | 0 | 53.34% | 1869 | 0 | 0 | 0 | 0 | 0.92 | 2 | 9 | |
2 | Moritz Seider | 53 | D | 69 | 12 | 43 | 55 | 3 | 83 | 5 | 192 | 107 | 22 | 66 | 11.21% | 106 | 24.94 | 8 | 13 | 21 | 207 | 0 | 0 | 0 | 199 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
3 | Nikolaj Ehlers | 0 | LW/RW | 69 | 20 | 23 | 43 | 18 | 14 | 0 | 40 | 210 | 50 | 142 | 9.52% | 8 | 20.06 | 3 | 8 | 11 | 203 | 1 | 0 | 1 | 76 | 4 | 1 | 44.44% | 144 | 0 | 0 | 0 | 0 | 0.62 | 1 | 8 | |
4 | David Perron | 57 | LW/RW | 69 | 20 | 22 | 42 | 21 | 30 | 0 | 139 | 155 | 55 | 104 | 12.90% | 7 | 19.62 | 4 | 6 | 10 | 182 | 0 | 0 | 0 | 74 | 2 | 1 | 44.21% | 95 | 0 | 0 | 0 | 0 | 0.62 | 4 | 7 | |
5 | Kevin Shattenkirk | 0 | D | 66 | 6 | 33 | 39 | 6 | 32 | 0 | 67 | 81 | 19 | 45 | 7.41% | 89 | 22.26 | 3 | 8 | 11 | 176 | 0 | 1 | 1 | 178 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
6 | Sidney Crosby | 87 | C | 69 | 20 | 18 | 38 | -9 | 20 | 0 | 86 | 223 | 72 | 147 | 8.97% | 6 | 19.84 | 7 | 2 | 9 | 209 | 0 | 0 | 0 | 150 | 5 | 1 | 55.68% | 1399 | 0 | 0 | 0 | 0 | 0.56 | 2 | 10 | |
7 | Colton Parayko | 55 | D | 69 | 6 | 30 | 36 | 12 | 26 | 0 | 44 | 89 | 27 | 58 | 6.74% | 123 | 22.55 | 2 | 6 | 8 | 166 | 0 | 0 | 0 | 217 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
8 | Adam Pelech | 0 | D | 70 | 3 | 29 | 32 | 10 | 26 | 0 | 72 | 60 | 21 | 42 | 5.00% | 84 | 20.20 | 2 | 6 | 8 | 122 | 0 | 0 | 0 | 187 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
9 | Scott Laughton | 0 | C/LW | 69 | 14 | 15 | 29 | 5 | 38 | 0 | 123 | 129 | 32 | 99 | 10.85% | 16 | 14.08 | 2 | 7 | 9 | 145 | 0 | 0 | 0 | 80 | 2 | 1 | 52.29% | 1094 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
10 | Andrew Mangiapane | 0 | LW/RW | 69 | 14 | 13 | 27 | -7 | 18 | 0 | 94 | 201 | 37 | 111 | 6.97% | 13 | 17.42 | 3 | 3 | 6 | 193 | 0 | 0 | 0 | 58 | 3 | 0 | 43.66% | 71 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | |
11 | Jakub Vrana | 15 | LW/RW | 67 | 8 | 14 | 22 | -11 | 10 | 0 | 67 | 125 | 25 | 82 | 6.40% | 9 | 18.43 | 3 | 6 | 9 | 188 | 0 | 0 | 0 | 110 | 3 | 0 | 44.77% | 239 | 0 | 0 | 0 | 0 | 0.36 | 2 | 3 | |
12 | K'Andre Miller | 48 | D | 69 | 4 | 16 | 20 | 1 | 78 | 0 | 92 | 40 | 11 | 27 | 10.00% | 44 | 14.53 | 1 | 2 | 3 | 26 | 0 | 0 | 0 | 53 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
13 | Alexis Lafreniere | 13 | LW | 69 | 6 | 12 | 18 | -2 | 21 | 15 | 17 | 86 | 23 | 54 | 6.98% | 5 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 1 | 41.82% | 55 | 0 | 0 | 0 | 0 | 0.50 | 1 | 1 | |
14 | Ryan Ellis | 0 | D | 39 | 2 | 15 | 17 | -11 | 8 | 0 | 30 | 61 | 17 | 32 | 3.28% | 49 | 24.82 | 0 | 4 | 4 | 101 | 0 | 0 | 0 | 122 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
15 | Kris Russell | 4 | D | 69 | 3 | 12 | 15 | -3 | 36 | 0 | 51 | 35 | 9 | 30 | 8.57% | 54 | 14.63 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 60 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
16 | Andrew Cogliano | 17 | LW | 69 | 5 | 7 | 12 | -2 | 6 | 0 | 15 | 55 | 11 | 47 | 9.09% | 4 | 8.87 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 77 | 0 | 0 | 35.29% | 34 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
17 | Jesse Puljujarvi | 98 | RW | 69 | 6 | 6 | 12 | 5 | 17 | 5 | 36 | 73 | 18 | 42 | 8.22% | 3 | 9.82 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 40.48% | 42 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
18 | Pat Maroon | 19 | LW/RW | 49 | 2 | 2 | 4 | 1 | 42 | 10 | 64 | 21 | 6 | 12 | 9.52% | 0 | 7.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 16 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
19 | Ryan McLeod | 0 | C/LW/RW | 30 | 3 | 1 | 4 | 1 | 0 | 0 | 0 | 29 | 6 | 7 | 10.34% | 3 | 7.81 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 47.33% | 243 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
Team Total or Average | 1212 | 177 | 350 | 527 | 58 | 519 | 35 | 1295 | 2048 | 540 | 1337 | 8.64% | 641 | 17.01 | 43 | 83 | 126 | 2114 | 1 | 2 | 3 | 1841 | 28 | 11 | 52.18% | 5301 | 0 | 0 | 0 | 0 | 0.51 | 12 | 39 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Igor Shesterkin | 49 | 28 | 16 | 4 | 0.915 | 2.27 | 2881 | 0 | 5 | 109 | 1276 | 0 | 0 | 2 | 0.795 | 39 | 48 | 17 | 6 | 4 | 1 | |
2 | Anton Forsberg | 23 | 10 | 11 | 0 | 0.920 | 2.30 | 1307 | 0 | 4 | 50 | 624 | 0 | 0 | 0 | 0.000 | 0 | 21 | 48 | 6 | 2 | 1 | |
Team Total or Average | 72 | 38 | 27 | 4 | 0.916 | 2.28 | 4189 | 0 | 9 | 159 | 1900 | 0 | 0 | 2 | 0.795 | 39 | 69 | 65 | 12 | 6 | 2 |
Projected Total Cap Hit | 70,695,978$ |
Projected Cap Space | 11,804,022$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 62,361,132$ |
Players In Salary Cap | 18 |
LTIR Players | 4 |
Oilers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
Aleksander Barkov ![]() | C | 27 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ |
Alexis Lafreniere ![]() | LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Andrew Cogliano | LW | 35 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Andrew Mangiapane | LW/RW | 26 | 2,000,000$ | 2,000,000$ | |||||||
Anton Forsberg | G | 30 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Colton Parayko | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
David Perron | LW/RW | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Igor Shesterkin | G | 27 | 5,666,666$ | 5,666,667$ | 5,666,667$ | 5,666,667$ | UFA | ||||
Jakub Vrana ![]() | LW/RW | 27 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||
Jesse Puljujarvi | RW | 24 | 3,000,000$ | 3,000,000$ | |||||||
K'Andre Miller ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Kevin Shattenkirk | D | 34 | 3,900,000$ | 3,900,000$ | UFA | ||||||
Kris Russell ![]() | D | 35 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Moritz Seider ![]() | D | 21 | 894,167$ | 894,167$ | RFA | ||||||
Nikolaj Ehlers | LW/RW | 27 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Oscar Klefbom ![]() | D | 29 | 4,167,000$ | 4,167,000$ | UFA | ||||||
Pat Maroon ![]() | LW/RW | 34 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Ryan Ellis ![]() ![]() | D | 32 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||
Ryan McLeod ![]() | C/LW/RW | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Scott Laughton | C/LW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Sidney Crosby | C | 35 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula ![]() | D | 22 | 866,667$ | 866,667$ | RFA | ||||||
Andrew Shortridge ![]() | G | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Austin Czarnik ![]() ![]() | C/LW/RW | 30 | 950,000$ | 950,000$ | UFA | ||||||
Ben McCartney ![]() | LW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Bokondji Imama ![]() ![]() | LW | 26 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | ||||
Brandon Biro ![]() | LW | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Brett Leason ![]() | RW | 23 | 950,000$ | 950,000$ | RFA | ||||||
Calvin Pickard ![]() ![]() | G | 30 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Connor Dewar ![]() ![]() | LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
Frederik Gauthier ![]() | C | 27 | 950,000$ | 950,000$ | UFA | ||||||
Garrett Pilon ![]() | C | 24 | 950,000$ | 950,000$ | ![]() | ||||||
Jack Dougherty ![]() ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Jesse Ylonen ![]() | RW | 23 | 880,833$ | 880,833$ | RFA | ||||||
Josh Lopina ![]() | C | 22 | 750,000$ | 750,000$ | RFA | ||||||
Keean Washkurak ![]() | C | 21 | 750,000$ | 750,000$ | RFA | ||||||
Libor Hajek ![]() ![]() | D | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Mark Borowiecki ![]() | D | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Mason Jobst ![]() | C | 29 | 900,000$ | 900,000$ | UFA | ||||||
Mason Millman ![]() | D | 21 | 0$ | RFA | |||||||
Pascal Laberge ![]() | C | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Patrick Newell ![]() | C/LW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Samuel Asselin ![]() | C | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Samuel Houde ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Sean Day ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Steven Santini ![]() | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Stuart Skinner ![]() ![]() | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Trey Fix-Wolansky ![]() | RW | 23 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
William Lagesson ![]() | D | 27 | 900,000$ | 900,000$ | 900,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 6 | 1.000 | 7 | 13 | 20 | 0 | 2 | 3 | 1 | 3 | 0 | 94 | 33 | 36 | 25 | 0 | 74 | 29 | 26 | 54 | 12 | 3 | 25.00% | 12 | 1 | 91.67% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 72 | 49 | 69 | 22 | 37 | 19 | 100.0% | 7.4% | 98.6% | 106.1 | DULL | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 3 | 2 | 69 | 23 | 19 | 23 | 9 | 48 | 10 | 4 | 29 | 9 | 2 | 22.22% | 2 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 56 | 40 | 41 | 14 | 26 | 14 | 62.5% | 10.1% | 93.8% | 103.9 | LUCKY | |
3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 0 | 1 | 65 | 26 | 15 | 22 | 2 | 49 | 14 | 12 | 35 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 52 | 37 | 41 | 14 | 27 | 14 | 50.0% | 3.1% | 95.9% | 99.0 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 63 | 25 | 13 | 25 | 0 | 47 | 16 | 22 | 40 | 7 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 51 | 36 | 45 | 14 | 23 | 10 | 42.9% | 4.8% | 91.5% | 96.3 | DULL | |
5 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 1 | 6 | 1 | 1 | 61 | 9 | 26 | 22 | 7 | 64 | 20 | 18 | 46 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 49 | 35 | 50 | 15 | 24 | 12 | 75.0% | 14.8% | 93.8% | 108.5 | LUCKY | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 51 | 14 | 13 | 24 | 0 | 48 | 12 | 12 | 36 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 51 | 35 | 42 | 14 | 25 | 13 | 28.6% | 5.9% | 87.5% | 93.4 | Unlucky | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 61 | 21 | 10 | 23 | 10 | 49 | 15 | 15 | 37 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 54 | 40 | 47 | 13 | 23 | 11 | 50.0% | 8.2% | 89.8% | 98.0 | Unlucky | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 2 | 1 | 3 | 1 | 65 | 17 | 19 | 22 | 10 | 43 | 17 | 18 | 44 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 53 | 38 | 45 | 14 | 26 | 13 | 71.4% | 10.8% | 93.0% | 103.8 | LUCKY | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 3 | 0 | 3 | 1 | 57 | 27 | 10 | 20 | 4 | 37 | 12 | 14 | 43 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 53 | 36 | 44 | 14 | 27 | 14 | 54.5% | 10.5% | 83.8% | 94.3 | FUN | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 1 | 3 | 1 | 2 | 57 | 18 | 14 | 22 | 7 | 48 | 12 | 16 | 54 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 50 | 34 | 47 | 15 | 26 | 13 | 83.3% | 10.5% | 95.8% | 106.4 | LUCKY | |
11 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 1 | 1 | 6 | 0 | 75 | 16 | 19 | 37 | 3 | 53 | 21 | 13 | 42 | 11 | 4 | 36.36% | 4 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 48 | 33 | 47 | 14 | 25 | 13 | 36.4% | 10.7% | 86.8% | 97.5 | FUN | |
12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 82 | 33 | 26 | 23 | 0 | 109 | 20 | 39 | 69 | 7 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 68 | 46 | 75 | 21 | 36 | 18 | 53.3% | 9.8% | 92.7% | 102.4 | LUCKY | |
13 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 76 | 22 | 22 | 32 | 0 | 94 | 36 | 18 | 74 | 12 | 4 | 33.33% | 8 | 3 | 62.50% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 69 | 48 | 71 | 21 | 39 | 20 | 40.0% | 10.5% | 90.4% | 101.0 | FUN | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 44 | 11 | 19 | 14 | 0 | 56 | 17 | 12 | 39 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 44 | 29 | 51 | 15 | 24 | 12 | 16.7% | 2.3% | 89.3% | 91.6 | Unlucky | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 90 | 35 | 31 | 24 | 0 | 84 | 25 | 36 | 66 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 70 | 49 | 74 | 20 | 35 | 17 | 50.0% | 6.7% | 90.5% | 97.1 | Unlucky | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 2 | 63 | 23 | 25 | 12 | 7 | 62 | 21 | 14 | 45 | 7 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 54 | 39 | 45 | 14 | 25 | 13 | 57.1% | 6.3% | 91.9% | 98.3 | DULL | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 3 | 2 | 4 | 0 | 88 | 26 | 28 | 34 | 0 | 74 | 20 | 32 | 58 | 8 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 70 | 49 | 71 | 22 | 37 | 18 | 64.3% | 10.2% | 90.5% | 100.8 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 25 | 8 | 9 | 8 | 0 | 40 | 10 | 8 | 24 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 22 | 14 | 24 | 6 | 13 | 6 | 25.0% | 8.0% | 90.0% | 98.0 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 5 | 8 | 13 | 0 | 1 | 2 | 3 | 0 | 0 | 59 | 16 | 25 | 18 | 0 | 54 | 16 | 20 | 48 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 47 | 32 | 49 | 15 | 23 | 11 | 80.0% | 8.5% | 96.3% | 104.8 | DULL | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0.500 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 55 | 19 | 16 | 20 | 0 | 46 | 22 | 18 | 29 | 4 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 47 | 33 | 48 | 14 | 23 | 11 | 50.0% | 1.8% | 97.8% | 99.6 | DULL | |
21 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 96 | 22 | 36 | 38 | 0 | 81 | 21 | 23 | 60 | 17 | 2 | 11.76% | 9 | 4 | 55.56% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 70 | 46 | 70 | 22 | 39 | 20 | 27.3% | 5.2% | 85.2% | 90.4 | Unlucky | |
22 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 48 | 16 | 16 | 15 | 1 | 62 | 15 | 22 | 35 | 6 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 41 | 26 | 54 | 15 | 25 | 11 | 50.0% | 12.5% | 88.7% | 101.2 | FUN | |
23 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 3 | 2 | 2 | 2 | 62 | 15 | 26 | 21 | 7 | 67 | 23 | 16 | 56 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 48 | 33 | 53 | 14 | 23 | 12 | 71.4% | 12.9% | 97.0% | 109.9 | LUCKY | |
24 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 5 | 0.833 | 8 | 12 | 20 | 0 | 0 | 2 | 3 | 3 | 0 | 101 | 33 | 33 | 35 | 3 | 104 | 31 | 28 | 62 | 9 | 2 | 22.22% | 14 | 1 | 92.86% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 71 | 50 | 75 | 21 | 38 | 18 | 60.0% | 7.9% | 95.2% | 103.1 | DULL | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 2 | 2 | 4 | 0 | 56 | 20 | 15 | 21 | 0 | 56 | 19 | 21 | 42 | 5 | 2 | 40.00% | 8 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 48 | 33 | 46 | 14 | 24 | 11 | 46.2% | 14.3% | 87.5% | 101.8 | FUN | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 5 | 3 | 3 | 0 | 85 | 29 | 31 | 25 | 0 | 83 | 30 | 30 | 47 | 9 | 2 | 22.22% | 14 | 3 | 78.57% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 72 | 50 | 70 | 20 | 37 | 18 | 60.0% | 12.9% | 89.2% | 102.1 | FUN | |
27 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 46 | 8 | 21 | 16 | 1 | 64 | 17 | 22 | 49 | 4 | 2 | 50.00% | 10 | 3 | 70.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 46 | 30 | 47 | 15 | 26 | 13 | 50.0% | 13.0% | 89.1% | 102.1 | FUN | |
28 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 0 | 1 | 58 | 26 | 16 | 13 | 6 | 48 | 17 | 20 | 35 | 10 | 1 | 10.00% | 10 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 52 | 36 | 44 | 16 | 27 | 13 | 54.5% | 12.1% | 89.6% | 101.7 | FUN | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 16 | 10 | 10 | 0 | 24 | 4 | 4 | 22 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 25 | 18 | 22 | 7 | 12 | 6 | 0.0% | 2.8% | 83.3% | 86.1 | Unlucky | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 63 | 14 | 18 | 31 | 0 | 50 | 22 | 33 | 40 | 10 | 2 | 20.00% | 6 | 3 | 50.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 50 | 36 | 45 | 13 | 24 | 11 | 20.0% | 4.8% | 86.0% | 90.8 | Unlucky | |
31 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 6 | 8 | 4 | 0.667 | 14 | 26 | 40 | 0 | 1 | 4 | 5 | 5 | 0 | 81 | 22 | 27 | 32 | 0 | 84 | 23 | 27 | 53 | 12 | 4 | 33.33% | 10 | 2 | 80.00% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 71 | 50 | 71 | 22 | 37 | 19 | 71.4% | 17.3% | 92.9% | 110.1 | LUCKY | |
_Vs Division | 16 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 14 | 0.438 | 42 | 78 | 120 | 1 | 3 | 13 | 13 | 16 | 0 | 450 | 138 | 147 | 165 | 0 | 438 | 150 | 141 | 324 | 61 | 16 | 26.23% | 51 | 10 | 80.39% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 382 | 265 | 377 | 117 | 200 | 101 | 46.4% | 9.3% | 90.9% | 100.2 | FUN | |
_Vs Conference | 37 | 17 | 18 | 0 | 0 | 0 | 0 | 2 | 96 | 98 | -2 | 36 | 0.486 | 96 | 175 | 271 | 1 | 3 | 31 | 32 | 33 | 0 | 1078 | 345 | 351 | 375 | 13 | 1062 | 322 | 352 | 747 | 127 | 24 | 18.90% | 132 | 25 | 81.06% | 0 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 882 | 612 | 886 | 267 | 461 | 231 | 49.7% | 8.9% | 90.8% | 99.7 | Unlucky | |
_Since Last GM Reset | 69 | 28 | 27 | 0 | 3 | 1 | 7 | 3 | 184 | 164 | 20 | 80 | 0.580 | 184 | 322 | 506 | 2 | 9 | 55 | 59 | 60 | 15 | 2032 | 643 | 644 | 707 | 77 | 1902 | 587 | 613 | 1413 | 236 | 41 | 17.37% | 252 | 37 | 85.32% | 1 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 1687 | 1174 | 1636 | 504 | 870 | 437 | 53.0% | 9.1% | 91.4% | 100.4 | LUCKY | |
Total | 69 | 28 | 27 | 0 | 3 | 1 | 7 | 3 | 184 | 164 | 20 | 80 | 0.580 | 184 | 322 | 506 | 2 | 9 | 55 | 59 | 60 | 15 | 2032 | 643 | 644 | 707 | 77 | 1902 | 587 | 613 | 1413 | 236 | 41 | 17.37% | 252 | 37 | 85.32% | 1 | 1259 | 2358 | 53.39% | 1195 | 2334 | 51.20% | 515 | 971 | 53.04% | 1687 | 1174 | 1636 | 504 | 870 | 437 | 53.0% | 9.1% | 91.4% | 100.4 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2358 |
Neutral Zone Start | 971 |
Defensive Zone Start | 2334 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2969 |
Faceoffs Lost | 2694 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 18.7 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 140 |
---|---|
PP Goal | 41 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 19 | 19 |
Lost | 13 | 14 |
Overtime Lost | 3 | 1 |
PP Attempt | 236 |
---|---|
PP Goal | 41 |
PK Attempt | 252 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 29.4 |
Shots Against | 27.6 |
Goals For | 2.7 |
Goals Against | 2.4 |
Hits | 20.5 |
Shots Blocked | 8.5 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-12 | @ | Canucks3,Oilers4 | RECAP | |||||||||||
2022-10-15 | @ | Flames0,Oilers2 | RECAP | |||||||||||
2022-10-18 | @ | Sabres1,Oilers0 | RECAP | |||||||||||
2022-10-20 | @ | Hurricanes3,Oilers1 | RECAP | |||||||||||
2022-10-22 | @ | Blues1,Oilers3 | RECAP | |||||||||||
2022-10-24 | @ | Penguins2,Oilers3 | RECAP | |||||||||||
2022-10-26 | @ | Oilers2,Blues3 | RECAP | |||||||||||
2022-10-27 | @ | Oilers1,Blackhawks4 | RECAP | |||||||||||
2022-10-29 | @ | Oilers3,Flames0 | RECAP | |||||||||||
2022-11-01 | @ | Predators2,Oilers0 | RECAP | |||||||||||
2022-11-03 | @ | Devils0,Oilers1 (OT) | RECAP | |||||||||||
2022-11-05 | @ | Stars5,Oilers1 | RECAP | |||||||||||
2022-11-07 | @ | Oilers3,Capitals4 (OT) | RECAP | |||||||||||
2022-11-08 | @ | Oilers2,Lightning4 | RECAP | |||||||||||
2022-11-10 | @ | Oilers2,Hurricanes3 | RECAP | |||||||||||
2022-11-12 | @ | Oilers4,Panthers3 (OT) | RECAP | |||||||||||
2022-11-16 | @ | Kings4,Oilers1 | RECAP | |||||||||||
2022-11-19 | @ | Golden Knights3,Oilers2 | RECAP | |||||||||||
2022-11-21 | @ | Oilers1,Devils2 | RECAP | |||||||||||
2022-11-23 | @ | Oilers3,Islanders2 (SO) | RECAP | |||||||||||
2022-11-26 | @ | Oilers4,Rangers3 (SO) | RECAP | |||||||||||
2022-11-28 | @ | Panthers4,Oilers2 | RECAP | |||||||||||
2022-11-30 | @ | Oilers1,Blackhawks6 | RECAP | |||||||||||
2022-12-01 | @ | Oilers2,Wild4 | RECAP | |||||||||||
2022-12-03 | @ | Canadiens2,Oilers3 (SO) | RECAP | |||||||||||
2022-12-05 | @ | Capitals3,Oilers5 | RECAP | |||||||||||
2022-12-07 | @ | Coyotes4,Oilers2 | RECAP | |||||||||||
2022-12-09 | @ | Wild2,Oilers0 | RECAP | |||||||||||
2022-12-12 | @ | Oilers6,Wild2 | RECAP | |||||||||||
2022-12-13 | @ | Oilers4,Predators1 | RECAP | |||||||||||
2022-12-15 | @ | Blues3,Oilers4 | RECAP | |||||||||||
2022-12-17 | @ | Ducks4,Oilers3 | RECAP | |||||||||||
2022-12-19 | @ | Oilers2,Predators5 | RECAP | |||||||||||
2022-12-21 | @ | Oilers7,Stars2 | RECAP | |||||||||||
2022-12-23 | @ | Canucks1,Oilers0 | RECAP | |||||||||||
2022-12-27 | @ | Oilers2,Flames1 | RECAP | |||||||||||
2022-12-30 | @ | Oilers2,Kraken4 | RECAP | |||||||||||
2022-12-31 | @ | Jets1,Oilers4 | RECAP | |||||||||||
2023-01-03 | @ | Kraken0,Oilers6 | RECAP | |||||||||||
2023-01-05 | @ | Islanders2,Oilers6 | RECAP | |||||||||||
2023-01-07 | @ | Avalanche3,Oilers2 (SO) | RECAP | |||||||||||
2023-01-09 | @ | Oilers0,Kings2 | RECAP | |||||||||||
2023-01-11 | @ | Oilers5,Ducks3 | RECAP | |||||||||||
2023-01-13 | @ | Oilers1,Sharks4 | RECAP | |||||||||||
2023-01-14 | @ | Oilers1,Golden Knights4 | RECAP | |||||||||||
2023-01-17 | @ | Kraken2,Oilers6 | RECAP | |||||||||||
2023-01-19 | @ | Lightning1,Oilers2 (SO) | RECAP | |||||||||||
2023-01-21 | @ | Oilers4,Canucks5 | RECAP | |||||||||||
2023-01-25 | @ | Blue Jackets2,Oilers3 (SO) | RECAP | |||||||||||
2023-01-28 | @ | Blackhawks2,Oilers3 | RECAP | |||||||||||
2023-02-07 | @ | Oilers3,Red Wings2 | RECAP | |||||||||||
2023-02-09 | @ | Oilers4,Flyers1 | RECAP | |||||||||||
2023-02-11 | @ | Oilers3,Senators2 | RECAP | |||||||||||
2023-02-12 | @ | Oilers3,Canadiens0 | RECAP | |||||||||||
2023-02-15 | @ | Red Wings4,Oilers3 (SO) | RECAP | |||||||||||
2023-02-17 | @ | Rangers0,Oilers3 | RECAP | |||||||||||
2023-02-19 | @ | Oilers3,Avalanche2 | RECAP | |||||||||||
2023-02-21 | @ | Flyers2,Oilers3 (SO) | RECAP | |||||||||||
2023-02-23 | @ | Oilers4,Penguins3 (SO) | RECAP | |||||||||||
2023-02-25 | @ | Oilers5,Blue Jackets0 | RECAP | |||||||||||
2023-02-27 | @ | Bruins0,Oilers4 | RECAP | |||||||||||
2023-03-01 | @ | Maple Leafs5,Oilers3 | RECAP | |||||||||||
2023-03-03 | @ | Jets3,Oilers2 (SO) | RECAP | |||||||||||
2023-03-04 | @ | Oilers2,Jets1 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-06 | @ | Oilers1,Sabres0 | RECAP | |||||||||||
2023-03-09 | @ | Oilers1,Bruins2 | RECAP | |||||||||||
2023-03-11 | @ | Oilers3,Maple Leafs2 (OT) | RECAP | |||||||||||
2023-03-14 | @ | Senators2,Oilers0 | RECAP | |||||||||||
2023-03-16 | @ | Stars2,Oilers3 | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-20 | @ | |||||||||||||
2023-03-22 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-27 | @ | |||||||||||||
2023-03-28 | @ | |||||||||||||
2023-03-30 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,893,834$ | 0$ | 70,695,978$ | 14,606,166$ |
Arena | Goal Horn | About us | |
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![]() | Name | Rexall Place | |
City | Edmonton | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 200206 | 163513 | 66553 | 132206 | 32954 |
Attendance PCT | 95.34% | 93.44% | 95.08% | 94.43% | 94.15% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 17012 - 94.51% | 1,502,024$ | 52,570,855$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,893,834$ | 67,893,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
65,915,983$ | 308,698$ | 62,361,132$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
9,012,147$ | 27 | 364,518$ | 9,841,986$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
10,135,906$ | 67,893,834$ | 62,832,738$ | 61,708,979$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Ljungkrantz | |||||
Alexander Pashin | 2020 | 93 | |||
Anthony Romano | 2019 | 182 | |||
Carson Latimer | 2021 | 141 | |||
Chase Clark | 2021 | 170 | |||
Chris Romaine | 2022 | 187 | |||
Connor McClennon | 2020 | 75 | |||
Hugo Gabrielson | 2021 | 184 | |||
Jack Beck | 2021 | 166 | |||
Martin Hugo Has | 2019 | 162 | 5.0 - 5.5 | ||
Sam Colangelo | 2020 | 54 | |||
Topi Niemela | 2020 | 44 | |||
William Francis | 2019 | 168 | |||
Xavier Parent | 2019 | 194 |
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